Senior Data Engineer - Sydney
The role leads the design and evolution of TMGM's real‑time data infrastructure, using technologies such as Kafka, RabbitMQ, Airflow and ClickHouse. The senior data engineer ensures high‑throughput, scalable pipelines for financial analytics in a fast‑growing CFD and Forex broker.
Skills required
About this role
About The Company
TMGM is one of the fastest-growing CFD and Forex brokers in the Asia-Pacific region, trusted by over 150,000 clients globally. With a strong focus on innovation, client satisfaction, and regulatory compliance, we continue to expand our presence across international markets.
About The Role
As a Senior Data Engineer, you will be a technical leader responsible for the architecture, scalability, and reliability of our high-throughput, real-time data ecosystem. You will oversee the evolution of our data infrastructure, leveraging Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics. Your role is to bridge the gap between complex business requirements and high-performance engineering, ensuring our data pipelines can handle the rigours of real-time financial data processing.
Requirements
Key Responsibilities:
- Lead the design and evolution of highly scalable, fault-tolerant ETL/ELT pipelines.
- Dive the strategy for real-time messaging and stream processing using Kafka and RabbitMQ to ensure sub-second data availability.
- Act as the subject matter expert for ClickHouse, optimising complex schema designs, indexing strategies, and query performance for large-scale financial datasets.
- Oversee the deployment of data services within cloud environments, implementing advanced security protocols and data governance standards essential for the finance industry.
- Collaborate with senior leadership to align data strategy with business objectives. Mentor data engineers through code reviews and technical guidance.
- Implement advanced monitoring and automated recovery systems to ensure the integrity and quality of high-stakes financial data.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in data engineering, with a strong background in designing and implementing ETL processes within cloud environments.
- Experience within the Finance or Trading technology sector, with a proven track record of handling real-time market or transactional data.
- Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines.
- Extensive SQL knowledge and experience.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Benefits
- Hybrid working arrangement - 2 Days of remote work per week
- Opportunities for enriching career growth, including exposure to regional contexts
- Complimentary snacks and beverages available in the office pantry
- Healthcare coverage (medical, dental, optical), gym benefits
- Flexibility in smart casual dress code
- Young, vibrant and open work culture
